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Multi-resolution feature fusion for face recognition
Kuong Hon Pong
,
Kin Man Lam
The Hong Kong Polytechnic University
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
71
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Citations (Scopus)
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Dive into the research topics of 'Multi-resolution feature fusion for face recognition'. Together they form a unique fingerprint.
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Keyphrases
Face Recognition
100%
Gabor Features
100%
Multi-resolution Feature Fusion
100%
High-resolution
57%
Face Image
42%
Medium Resolution
28%
Generalized Canonical Correlation Analysis
28%
Low-resolution Face Recognition
28%
Information Content
14%
Recognition Rate
14%
Image Features
14%
Super-resolution
14%
Feature Vector
14%
Recognition Performance
14%
Recognition Images
14%
Local Linear Regression
14%
Single Feature
14%
Feature Hallucination
14%
Computer Science
Feature Fusion
100%
Face Recognition
100%
Gabor feature
100%
Correlation Analysis
28%
Traditional Method
14%
Recognition Performance
14%
image feature
14%
super resolution
14%
Feature Vector
14%
Information Content
14%
Experimental Result
14%
Recognition Rate
14%
Single Feature
14%
Face Recognition Approach
14%
Engineering
High Resolution
100%
Face Image
75%
Feature Vector
25%
Experimental Result
25%
Input Image
25%
Image Recognition
25%
Recognition Rate
25%
Single Feature
25%
Face Recognition Approach
25%
Information Content
25%